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On centroid connectors in static traffic assignment: Their effects on flow patterns and how to optimize their selections

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  • (Sean) Qian, Zhen
  • Zhang, H.M.

Abstract

In this paper, we investigate to what extent the results of static traffic assignment (STA) are influenced by centroid connectors and how to optimize their selections. Three networks are used to evaluate the impact of different centroid connector configurations on the resulting traffic flow pattern: a synthetic grid network, the California SR-41 corridor network and a large Sacramento area network. From the STA results of these three networks, we observe large fluctuations on resultant link volumes, maximum volume capacity (V/C) ratios, average V/C ratios and total travel time with respect to randomized connector selections. The fluctuations seem to indicate that STA results are unstable with respect to arbitrary connector selections, and this cannot be improved by simply changing the number of connectors. In fact, more connectors often result in serious under-estimation of total travel time and average link load. We infer that, if provided little information of access/egress nodes of trips, randomly generated connectors lead to artificial over- or under-utilization on network links. We therefore propose a connector optimization algorithm in which the connectors and their travel times are chosen in such a way that the maximum V/C ratio of some characteristic links is minimized. As the numerical example on the SR-41 network indicates, this connector optimization algorithm reduces the artificial over- and under-utilization of network links, and obtains a flow pattern more consistent with the one derived from a refined network where trip access/egress nodes are known in details.

Suggested Citation

  • (Sean) Qian, Zhen & Zhang, H.M., 2012. "On centroid connectors in static traffic assignment: Their effects on flow patterns and how to optimize their selections," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1489-1503.
    • Handle: RePEc:eee:transb:v:46:y:2012:i:10:p:1489-1503
    DOI: 10.1016/j.trb.2012.07.006
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    References listed on IDEAS

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    1. Chiou, Suh-Wen, 2005. "Bilevel programming for the continuous transport network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 39(4), pages 361-383, May.
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    Cited by:

    1. Ouassim Manout & Patrick Bonnel, 2019. "The impact of ignoring intrazonal trips in assignment models: a stochastic approach," Transportation, Springer, vol. 46(6), pages 2397-2417, December.
    2. Ouassim Manout & Patrick Bonnel & François Pacull, 2021. "Spatial Aggregation Issues in Traffic Assignment Models," Networks and Spatial Economics, Springer, vol. 21(1), pages 1-29, March.
    3. Ouassim Manout & Patrick Bonnel & François Pacull, 2020. "The impact of centroid connectors on transit assignment outcomes," Public Transport, Springer, vol. 12(3), pages 611-629, October.
    4. Manout, Ouassim & Bonnel, Patrick & Bouzouina, Louafi, 2018. "Transit accessibility: A new definition of transit connectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 88-100.
    5. Guarda, Pablo & Qian, Sean, 2024. "Statistical inference of travelers’ route choice preferences with system-level data," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    6. Krug, Jean & Burianne, Arthur & Bécarie, Cécile & Leclercq, Ludovic, 2021. "Refining trip starting and ending locations when estimating travel-demand at large urban scale," Journal of Transport Geography, Elsevier, vol. 93(C).
    7. Raadsen, Mark P.H. & Bliemer, Michiel C.J. & Bell, Michael G.H., 2020. "Aggregation, disaggregation and decomposition methods in traffic assignment: historical perspectives and new trends," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 199-223.

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